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FlexYield — blockchain RPC gateway

claim_agent_complete

Step 2 of claiming an agent: verify the wallet's signature over the message from claim_agent_start and equip the agent with its own budgeted API key (default 50000 requests/month). Use it right after claim_agent_start. Not for the first step and not for changing a budget later (use configure_key). Returns JSON: agent, address, monthly_request_cap, plaintext_token (shown once — store it), note. Creates a key. Needs your API key.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
addressYesThe agent's 0x address (as in claim_agent_start)
signatureYes65-byte 0x signature of the exact message
monthly_request_capNoMonthly budget; omit for the default

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.7/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The annotations are all false or non-illuminating, so the description itself must carry behavioral weight. It does: it discloses that the operation creates a key, returns a plaintext token shown only once, and requires the agent's API key. This goes beyond the schema and gives the agent essential side-effect and security context.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is compact and front-loaded, leading with the tool's exact role in the workflow, then usage constraints, then return format and caveats. Every sentence carries actionable information; there is no filler or repetition of schema fields.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with no output schema and uninformative annotations, the description is complete: it covers flow position, return fields, the once-only token warning, the created key, the default budget, and authentication needs. An agent has enough to invoke it correctly and know what to do with the response.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, which sets a baseline of 3. The description adds meaningful detail beyond the schema by clarifying that signature is over the message from claim_agent_start, that address is the same as in that first step, and that the default monthly cap is 50000 requests—information the schema leaves implicit. This lifts it above the baseline.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a specific verb and resource: verify a wallet signature and equip an agent with a budgeted API key. It explicitly frames itself as 'Step 2 of claiming an agent,' making its position in the workflow unambiguous. It also names claim_agent_start and configure_key as related but distinct tools, so an agent can pick it out from siblings.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives direct when-to-use guidance: 'Use it right after claim_agent_start.' It also states what it is not for, excluding the first step and budget changes, and names the alternative (configure_key) for the latter case. This is explicit routing with no reliance on inference.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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